Citation Impact
Citing Papers
Protein interaction networks revealed by proteome coevolution
2019 StandoutScienceNobel
Improved protein structure prediction using predicted interresidue orientations
2020 StandoutNobel
Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves
2015
Multi-Task Bayesian Optimization
2013
Visualizing Data using t-SNE
2008 StandoutNobel
Understanding the difficulty of training deep feedforward neural networks
2010 Standout
Predicting mRNA Abundance Directly from Genomic Sequence Using Deep Convolutional Neural Networks
2020
Multiagent off-screen behavior prediction in football
2022 StandoutNobel
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
2016
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
2019 Standout
De novo design of immunoglobulin-like domains
2022 StandoutNobel
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
2017
Mastering the game of Go without human knowledge
2017 StandoutNatureNobel
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
2018 Standout
Learning with Hierarchical-Deep Models
2013
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
2021 StandoutNobel
Human-level control through deep reinforcement learning
2015 StandoutNatureNobel
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
Effective gene expression prediction from sequence by integrating long-range interactions
2021 StandoutNobel
Machine learning for molecular and materials science
2018 StandoutNature
Cryo-EM structure of the protein-conducting ERAD channel Hrd1 in complex with Hrd3
2017 StandoutNatureNobel
Using goal-driven deep learning models to understand sensory cortex
2016
Improving airway segmentation in computed tomography using leak detection with convolutional networks
2016
The trRosetta server for fast and accurate protein structure prediction
2021 StandoutNobel
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Multimodal biomedical AI
2022 Standout
Fully hardware-implemented memristor convolutional neural network
2020 StandoutNature
A survey on deep learning in medical image analysis
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Large scale deep learning for computer aided detection of mammographic lesions
2016
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age
2017
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Improved protein structure prediction using potentials from deep learning
2020 StandoutNatureNobel
Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia
2016
A guide to deep learning in healthcare
2018 Standout
Explicit information for category-orthogonal object properties increases along the ventral stream
2016
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Fully Convolutional Networks for Semantic Segmentation
2016 Standout
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated
2016 StandoutNobel
Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks
2015
Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation
2016
Searching for exotic particles in high-energy physics with deep learning
2014
Recurrent Neural Networks for Multivariate Time Series with Missing Values
2018 Standout
Artificial intelligence in radiology
2018 Standout
Deep learning in neural networks: An overview
2014 Standout
Taking the Human Out of the Loop: A Review of Bayesian Optimization
2015 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification
2018
ImageNet Large Scale Visual Recognition Challenge
2015 Standout
Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams
2012
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
2013 Standout
Machine Learning in Medicine
2015 Standout
Initializing Bayesian Hyperparameter Optimization via Meta-Learning
2015
Dask: Parallel Computation with Blocked algorithms and Task Scheduling
2015
Deep learning for AI
2021 StandoutNobel
Social LSTM: Human Trajectory Prediction in Crowded Spaces
2016 Standout
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
2018 Standout
Unsupervised Learning Of Sparse Features For Scalable Audio Classification.
2011
Human-level concept learning through probabilistic program induction
2015 StandoutScience
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition
2016
Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines
2016
Evolutionary-scale prediction of atomic-level protein structure with a language model
2023 StandoutScience
A Deep Neural Networks Approach to Automatic Recognition Systems for Volcano-Seismic Events
2018
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Large-Scale Feature Learning With Spike-and-Slab Sparse Coding
2012
Learning Deep Architectures for AI
2009 Standout
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks
2015
Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations
2021 StandoutNobel
Temporal Pooling And Multiscale Learning For Automatic Annotation And Ranking Of Music Audio.
2011
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 Standout
Training restricted Boltzmann machines: An introduction
2013
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
2015 Standout
AmoebaContact and GDFold as a pipeline for rapid de novo protein structure prediction
2019
Protein contact prediction using metagenome sequence data and residual neural networks
2019 StandoutNobel
Works of James Bergstra being referenced
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
2009
A Spike and Slab Restricted Boltzmann Machine
2011
Unsupervised Models of Images by Spike-and-Slab RBMs
2011
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
2013
Unsupervised and Transfer Learning Challenge: a Deep Learning Approach
2011
Scalable Genre And Tag Prediction With Spectral Covariance.
2010
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms
2013
Aggregate features and ADABOOST for music classification
2006
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn
2014
Theano: A CPU and GPU Math Compiler in Python
2010